Molecular characterization and marker development for high molecular weight glutenin subunit 1Dy12** from Yunnan hulled wheat

Du, Xuye; Hu, Junmei; Ma, Xin; He, Jiefang; Hou, Wenqian; Guo, Juan; Bo, Cunyao; Wang, Hong Wei; Li, Anfei; Kong, Lingrang

doi:10.1007/s11032-018-0910-2

Cited by 8 publications

(10 citation statements)

References 44 publications

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“…Therefore, semi-wild wheat can be used as genetic resources to enrich the existing wheat gene pool and provide more abundant variation for the genetic research of wheat processing quality. In addition, with the release of the whole genome data of semi-wild wheat (Tibetan semi-wild wheat) [46], it provides genomic information for further discovering excellent alleles of semi-wild wheat, and also provides richer guiding signi cance for studying the role of semi-wild wheat in the evolution.…”

Section: Discussionmentioning

confidence: 99%

“…The existing gene pool of wheat is narrow because it is composed of current and historical wheat cultivars without the allelic variation from landraces and wild species [23,33]. The latest research shows that from the perspective of the whole genome level, Tibetan semiwild wheat has been de-domesticated from local landraces, and its genome is rich in variation [46]. Therefore, as a valuable resource to broaden the genetic diversity of wheat breeding, Chinese semi-wild cultivars can be used for genetic research of wheat processing quality, especially the release of the semi-wild wheat reference genome (Tibetan semi-wild wheat) [46].…”

Section: Comparison With Previous Studiesmentioning

confidence: 99%

“…The latest research shows that from the perspective of the whole genome level, Tibetan semiwild wheat has been de-domesticated from local landraces, and its genome is rich in variation [46]. Therefore, as a valuable resource to broaden the genetic diversity of wheat breeding, Chinese semi-wild cultivars can be used for genetic research of wheat processing quality, especially the release of the semi-wild wheat reference genome (Tibetan semi-wild wheat) [46]. The favorable alleles of 31% of the QTL for wheat processing quality were provided by three semi-wild parents, which may be due to the reason that semi-wild wheat contains alleles that are not utilized by existing cultivated wheat varieties [36,47] (Table S4).…”

Section: Comparison With Previous Studiesmentioning

confidence: 99%

“…from Sinkiang, and Cayazheda 29 (CY, T. aestivum ssp. tibetanum Shao) from Tibet [37,46]. The other divergent parent was British dwarf cultivar Hussar (HU), which is a good quality cultivar [48].…”

Section: Plant Materials and Experimental Designmentioning

confidence: 99%

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QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties

Xiao

Jiang

et al. 2020

Preprint

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Background: Wheat processing quality is an important factor in evaluating overall wheat quality and dough characteristics are important in assessing the processing quality of wheat. As an important germplasm resource, semi-wild wheat plays an important role in the study of wheat processing quality.Results: In this study, four dough rheological characteristics were therefore collected in four environments using a nested association mapping (NAM) population, consisting of semi-wild and domesticated wheat varieties, which was used to identify quantitative trait loci (QTL) for wheat processing quality. A total of 49 QTL for wheat processing quality were detected, explaining 0.36–10.82% of the phenotypic variation. These QTL were located on all wheat chromosomes except for 2D, 3A, 3D, 6B, 6D and 7D. Compared to previous studies, 29 QTL were newly identified. Four novel QTL, QMlPH-1B.4, QMlPH-3B.4, QWdEm-1B.2 and QWdEm-3B.2, were stably identified in three or more environments, of which QMlPH-3B.4 was a major QTL. Moreover, eight important genetic regions for wheat processing quality were identified on chromosomes 1B, 3B and 4D, which showed pleiotropy for dough characters. In addition, out of 49 QTL, 15 favorable alleles came from three semi-wild parents, suggesting that the QTL alleles provided by the semi-wild parent were unutilized in domesticated varieties.Conclusions: The results show that the semi-wild wheat varieties can enrich the existing wheat gene pool and provide broader variation resources for wheat genetic research.

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Section: Discussionmentioning

confidence: 99%

Section: Comparison With Previous Studiesmentioning

confidence: 99%

Section: Comparison With Previous Studiesmentioning

confidence: 99%

Section: Plant Materials and Experimental Designmentioning

confidence: 99%

See 2 more Smart Citations

QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties

Xiao

Jiang

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, as a valuable resource to broaden the genetic diversity of wheat breeding, Chinese semi-wild cultivars can be used for genetic research of wheat processing quality, especially the release of the semi-wild wheat reference genome (Tibetan semi-wild wheat) [46]. The favorable alleles of 31% of the QTL for wheat processing quality were provided by three semi-wild parents, which may be because semi-wild wheat contains alleles that are not utilized by existing cultivated wheat varieties [36,47] (Table S4). Hence, semi-wild wheat varieties can enrich the existing wheat gene pool, provide broader resources for wheat genetic research, and help in investigating the effect of domestication on the processing quality of wheat.…”

Section: Application Potential Of Semi-wild Cultivars In Breeding Goomentioning

confidence: 99%

QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties

Xiao

Jiang

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

Background: Wheat processing quality is an important factor in evaluating overall wheat quality, and dough characteristics are important when assessing the processing quality of wheat. As a notable germplasm resource, semi-wild wheat has a key role in the study of wheat processing quality.Results: In this study, four dough rheological characteristics were collected in four environments using a nested association mapping (NAM) population consisting of semi-wild and domesticated wheat varieties to identify quantitative trait loci (QTL) for wheat processing quality. A total of 49 QTL for wheat processing quality were detected, explaining 0.36–10.82% of the phenotypic variation. These QTL were located on all wheat chromosomes except for 2D, 3A, 3D, 6B, 6D and 7D. Compared to previous studies, 29 QTL were newly identified. Four novel QTL, QMlPH-1B.4, QMlPH-3B.4, QWdEm-1B.2 and QWdEm-3B.2, were stably identified in three or more environments, among which QMlPH-3B.4 was a major QTL. Moreover, eight important genetic regions for wheat processing quality were identified on chromosomes 1B, 3B and 4D, which showed pleiotropy for dough characteristics. In addition, out of 49 QTL, 15 favorable alleles came from three semi-wild parents, suggesting that the QTL alleles provided by the semi-wild parent were not utilized in domesticated varieties.Conclusions: The results show that semi-wild wheat varieties can enrich the existing wheat gene pool and provide broader variation resources for wheat genetic research.

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The genetic diversity of group-1 homoeologs and characterization of novel LMW-GS genes from Chinese Xinjiang winter wheat landraces (Triticum aestivum L.)

Dai

Yan

et al. 2020

J Appl Genetics

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Molecular characterization and marker development for high molecular weight glutenin subunit 1Dy12** from Yunnan hulled wheat

Cited by 8 publications

References 44 publications

QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties

QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties

QTL detection for bread wheat processing quality in a nested association mapping population of semi-wild and domesticated wheat varieties

The genetic diversity of group-1 homoeologs and characterization of novel LMW-GS genes from Chinese Xinjiang winter wheat landraces (Triticum aestivum L.)

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